Overview

Brought to you by YData

Dataset statistics

Number of variables25
Number of observations4190
Missing cells3278
Missing cells (%)3.1%
Duplicate rows4
Duplicate rows (%)0.1%
Total size in memory851.1 KiB
Average record size in memory208.0 B

Variable types

Numeric25

Alerts

Dataset has 4 (0.1%) duplicate rowsDuplicates
GOODS_DESCRIPTION_len_chars_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_mean and 13 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_mean is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 7 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_median is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 4 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_min is highly overall correlated with GOODS_DESCRIPTION_len_chars_sum and 6 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_std is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 5 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 14 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 12 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_mean is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 8 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_median is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 4 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_min is highly overall correlated with GOODS_DESCRIPTION_len_chars_min and 6 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_std is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 6 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 12 other fieldsHigh correlation
HS06_count is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 10 other fieldsHigh correlation
cosine_sim_gd_vs_hs_text_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 4 other fieldsHigh correlation
cosine_sim_gd_vs_hs_text_mean is highly overall correlated with cosine_sim_gd_vs_hs_text_max and 2 other fieldsHigh correlation
cosine_sim_gd_vs_hs_text_median is highly overall correlated with cosine_sim_gd_vs_hs_text_max and 2 other fieldsHigh correlation
cosine_sim_gd_vs_hs_text_min is highly overall correlated with GOODS_DESCRIPTION_len_chars_min and 7 other fieldsHigh correlation
cosine_sim_gd_vs_hs_text_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 10 other fieldsHigh correlation
subtokenization_indicator_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 9 other fieldsHigh correlation
subtokenization_indicator_mean is highly overall correlated with subtokenization_indicator_max and 2 other fieldsHigh correlation
subtokenization_indicator_median is highly overall correlated with subtokenization_indicator_meanHigh correlation
subtokenization_indicator_min is highly overall correlated with GOODS_DESCRIPTION_len_words_sum and 1 other fieldsHigh correlation
subtokenization_indicator_std is highly overall correlated with subtokenization_indicator_max and 1 other fieldsHigh correlation
subtokenization_indicator_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 9 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_std has 540 (12.9%) missing values Missing
GOODS_DESCRIPTION_len_chars_std has 540 (12.9%) missing values Missing
subtokenization_indicator_std has 540 (12.9%) missing values Missing
cosine_sim_gd_vs_hs_text_min has 230 (5.5%) missing values Missing
cosine_sim_gd_vs_hs_text_mean has 230 (5.5%) missing values Missing
cosine_sim_gd_vs_hs_text_median has 230 (5.5%) missing values Missing
cosine_sim_gd_vs_hs_text_max has 230 (5.5%) missing values Missing
cosine_sim_gd_vs_hs_text_std has 738 (17.6%) missing values Missing
GOODS_DESCRIPTION_len_words_std has 100 (2.4%) zeros Zeros
subtokenization_indicator_std has 106 (2.5%) zeros Zeros
cosine_sim_gd_vs_hs_text_sum has 230 (5.5%) zeros Zeros

Reproduction

Analysis started2025-05-19 15:04:43.394273
Analysis finished2025-05-19 15:09:15.572119
Duration4 minutes and 32.18 seconds
Software versionydata-profiling vv4.12.1
Download configurationconfig.json

Variables

HS06_count
Real number (ℝ)

High correlation 

Distinct430
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.909308
Minimum1
Maximum3869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:15.871939image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median13
Q349
95-th percentile274
Maximum3869
Range3868
Interquartile range (IQR)46

Descriptive statistics

Standard deviation185.02558
Coefficient of variation (CV)2.8951273
Kurtosis105.46571
Mean63.909308
Median Absolute Deviation (MAD)11
Skewness8.4442706
Sum267780
Variance34234.467
MonotonicityNot monotonic
2025-05-19T12:09:16.151988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 540
 
12.9%
2 319
 
7.6%
3 233
 
5.6%
4 176
 
4.2%
5 158
 
3.8%
7 137
 
3.3%
6 124
 
3.0%
8 113
 
2.7%
9 101
 
2.4%
13 83
 
2.0%
Other values (420) 2206
52.6%
ValueCountFrequency (%)
1 540
12.9%
2 319
7.6%
3 233
5.6%
4 176
 
4.2%
5 158
 
3.8%
6 124
 
3.0%
7 137
 
3.3%
8 113
 
2.7%
9 101
 
2.4%
10 51
 
1.2%
ValueCountFrequency (%)
3869 1
< 0.1%
2924 1
< 0.1%
2779 1
< 0.1%
2632 1
< 0.1%
2247 1
< 0.1%
2074 1
< 0.1%
1988 1
< 0.1%
1874 1
< 0.1%
1857 1
< 0.1%
1836 1
< 0.1%

GOODS_DESCRIPTION_len_words_sum
Real number (ℝ)

High correlation 

Distinct907
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293.24773
Minimum1
Maximum22795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:16.494216image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q112
median52
Q3206
95-th percentile1246
Maximum22795
Range22794
Interquartile range (IQR)194

Descriptive statistics

Standard deviation939.78084
Coefficient of variation (CV)3.2047335
Kurtosis181.82486
Mean293.24773
Median Absolute Deviation (MAD)48
Skewness10.765924
Sum1228708
Variance883188.02
MonotonicityNot monotonic
2025-05-19T12:09:16.738195image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 197
 
4.7%
3 139
 
3.3%
4 109
 
2.6%
6 101
 
2.4%
5 98
 
2.3%
1 83
 
2.0%
7 81
 
1.9%
9 65
 
1.6%
8 64
 
1.5%
11 56
 
1.3%
Other values (897) 3197
76.3%
ValueCountFrequency (%)
1 83
2.0%
2 197
4.7%
3 139
3.3%
4 109
2.6%
5 98
2.3%
6 101
2.4%
7 81
1.9%
8 64
 
1.5%
9 65
 
1.6%
10 48
 
1.1%
ValueCountFrequency (%)
22795 1
< 0.1%
21639 1
< 0.1%
12896 1
< 0.1%
12530 1
< 0.1%
12241 1
< 0.1%
9676 1
< 0.1%
9353 1
< 0.1%
9042 1
< 0.1%
8818 1
< 0.1%
8680 1
< 0.1%

GOODS_DESCRIPTION_len_words_min
Real number (ℝ)

High correlation 

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8212411
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:16.941032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum19
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3782325
Coefficient of variation (CV)0.75675458
Kurtosis33.363193
Mean1.8212411
Median Absolute Deviation (MAD)0
Skewness4.4492171
Sum7631
Variance1.8995248
MonotonicityNot monotonic
2025-05-19T12:09:17.155363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 2121
50.6%
2 1452
34.7%
3 333
 
7.9%
4 128
 
3.1%
5 54
 
1.3%
6 40
 
1.0%
7 20
 
0.5%
9 11
 
0.3%
8 10
 
0.2%
10 9
 
0.2%
Other values (7) 12
 
0.3%
ValueCountFrequency (%)
1 2121
50.6%
2 1452
34.7%
3 333
 
7.9%
4 128
 
3.1%
5 54
 
1.3%
6 40
 
1.0%
7 20
 
0.5%
8 10
 
0.2%
9 11
 
0.3%
10 9
 
0.2%
ValueCountFrequency (%)
19 2
 
< 0.1%
18 1
 
< 0.1%
16 2
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 2
 
< 0.1%
11 3
 
0.1%
10 9
0.2%
9 11
0.3%
8 10
0.2%

GOODS_DESCRIPTION_len_words_mean
Real number (ℝ)

High correlation 

Distinct1692
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0534472
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:17.398660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34.7544714
95-th percentile6.6
Maximum19
Range18
Interquartile range (IQR)1.7544714

Descriptive statistics

Standard deviation1.6385532
Coefficient of variation (CV)0.40423698
Kurtosis10.007139
Mean4.0534472
Median Absolute Deviation (MAD)0.84680574
Skewness1.8703389
Sum16983.944
Variance2.6848567
MonotonicityNot monotonic
2025-05-19T12:09:17.670746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 268
 
6.4%
3 237
 
5.7%
4 171
 
4.1%
1 95
 
2.3%
5 89
 
2.1%
2.5 75
 
1.8%
3.5 61
 
1.5%
6 54
 
1.3%
4.5 47
 
1.1%
3.666666667 41
 
1.0%
Other values (1682) 3052
72.8%
ValueCountFrequency (%)
1 95
2.3%
1.25 1
 
< 0.1%
1.333333333 8
 
0.2%
1.5 38
 
0.9%
1.6 2
 
< 0.1%
1.666666667 14
 
0.3%
1.714285714 2
 
< 0.1%
1.75 5
 
0.1%
1.8 5
 
0.1%
1.833333333 2
 
< 0.1%
ValueCountFrequency (%)
19 2
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 2
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13.75 1
 
< 0.1%
13 4
0.1%
12.98501873 1
 
< 0.1%
12.25 1
 
< 0.1%

GOODS_DESCRIPTION_len_words_median
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6504773
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:17.929371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3.5
Q34
95-th percentile6
Maximum19
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6425555
Coefficient of variation (CV)0.44995636
Kurtosis12.897529
Mean3.6504773
Median Absolute Deviation (MAD)0.5
Skewness2.46108
Sum15295.5
Variance2.6979886
MonotonicityNot monotonic
2025-05-19T12:09:18.160494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 1187
28.3%
4 1100
26.3%
2 589
14.1%
5 370
 
8.8%
3.5 169
 
4.0%
2.5 151
 
3.6%
6 141
 
3.4%
1 119
 
2.8%
4.5 90
 
2.1%
7 70
 
1.7%
Other values (21) 204
 
4.9%
ValueCountFrequency (%)
1 119
 
2.8%
1.5 43
 
1.0%
2 589
14.1%
2.5 151
 
3.6%
3 1187
28.3%
3.5 169
 
4.0%
4 1100
26.3%
4.5 90
 
2.1%
5 370
 
8.8%
5.5 29
 
0.7%
ValueCountFrequency (%)
19 2
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 3
0.1%
14 2
 
< 0.1%
13.5 1
 
< 0.1%
13 7
0.2%
12.5 1
 
< 0.1%
12 2
 
< 0.1%
11.5 2
 
< 0.1%

GOODS_DESCRIPTION_len_words_max
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:18.874966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q313
95-th percentile22
Maximum41
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.1978904
Coefficient of variation (CV)0.64561359
Kurtosis0.59564961
Mean9.6
Median Absolute Deviation (MAD)4
Skewness0.92257265
Sum40224
Variance38.413846
MonotonicityNot monotonic
2025-05-19T12:09:19.125375image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 312
 
7.4%
5 300
 
7.2%
2 299
 
7.1%
3 287
 
6.8%
6 286
 
6.8%
7 274
 
6.5%
10 259
 
6.2%
8 256
 
6.1%
11 237
 
5.7%
9 236
 
5.6%
Other values (26) 1444
34.5%
ValueCountFrequency (%)
1 95
 
2.3%
2 299
7.1%
3 287
6.8%
4 312
7.4%
5 300
7.2%
6 286
6.8%
7 274
6.5%
8 256
6.1%
9 236
5.6%
10 259
6.2%
ValueCountFrequency (%)
41 1
 
< 0.1%
37 2
 
< 0.1%
34 1
 
< 0.1%
33 1
 
< 0.1%
32 3
 
0.1%
31 4
 
0.1%
30 7
0.2%
29 7
0.2%
28 14
0.3%
27 11
0.3%

GOODS_DESCRIPTION_len_words_std
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2713
Distinct (%)74.3%
Missing540
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean2.2447975
Minimum0
Maximum10.843585
Zeros100
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:19.396671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.57735027
Q11.4142136
median2.1247171
Q32.8739789
95-th percentile4.3664968
Maximum10.843585
Range10.843585
Interquartile range (IQR)1.4597653

Descriptive statistics

Standard deviation1.2246282
Coefficient of variation (CV)0.54554062
Kurtosis3.9982845
Mean2.2447975
Median Absolute Deviation (MAD)0.71050355
Skewness1.2127068
Sum8193.5108
Variance1.4997142
MonotonicityNot monotonic
2025-05-19T12:09:19.668212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7071067812 117
 
2.8%
0 100
 
2.4%
1.414213562 66
 
1.6%
0.5773502692 40
 
1.0%
2.121320344 39
 
0.9%
1 36
 
0.9%
0.5773502692 25
 
0.6%
1.154700538 22
 
0.5%
0.9574271078 17
 
0.4%
2.828427125 16
 
0.4%
Other values (2703) 3172
75.7%
(Missing) 540
 
12.9%
ValueCountFrequency (%)
0 100
2.4%
0.2717464882 1
 
< 0.1%
0.3755338081 1
 
< 0.1%
0.377964473 1
 
< 0.1%
0.377964473 1
 
< 0.1%
0.4082482905 2
 
< 0.1%
0.4082482905 1
 
< 0.1%
0.4409585518 1
 
< 0.1%
0.4472135955 1
 
< 0.1%
0.4472135955 5
 
0.1%
ValueCountFrequency (%)
10.84358489 1
< 0.1%
10.44030651 1
< 0.1%
9.812528435 1
< 0.1%
9.192388155 2
< 0.1%
8.986100378 1
< 0.1%
8.845903006 1
< 0.1%
8.485281374 1
< 0.1%
8.354615002 1
< 0.1%
8.185352772 1
< 0.1%
8.082903769 1
< 0.1%

GOODS_DESCRIPTION_len_chars_sum
Real number (ℝ)

High correlation 

Distinct1888
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1867.648
Minimum3
Maximum167738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:19.914310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q175
median334
Q31324.75
95-th percentile7973.2
Maximum167738
Range167735
Interquartile range (IQR)1249.75

Descriptive statistics

Standard deviation6206.2527
Coefficient of variation (CV)3.3230313
Kurtosis247.35778
Mean1867.648
Median Absolute Deviation (MAD)306
Skewness12.426205
Sum7825445
Variance38517572
MonotonicityNot monotonic
2025-05-19T12:09:20.153076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 34
 
0.8%
13 32
 
0.8%
11 31
 
0.7%
14 31
 
0.7%
12 28
 
0.7%
10 26
 
0.6%
19 25
 
0.6%
25 24
 
0.6%
26 23
 
0.5%
16 22
 
0.5%
Other values (1878) 3914
93.4%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 16
0.4%
5 12
 
0.3%
6 11
 
0.3%
7 13
0.3%
8 13
0.3%
9 19
0.5%
10 26
0.6%
11 31
0.7%
12 28
0.7%
ValueCountFrequency (%)
167738 1
< 0.1%
156074 1
< 0.1%
82898 1
< 0.1%
82038 1
< 0.1%
73835 1
< 0.1%
64804 1
< 0.1%
64331 1
< 0.1%
59853 1
< 0.1%
55286 1
< 0.1%
53641 1
< 0.1%

GOODS_DESCRIPTION_len_chars_min
Real number (ℝ)

High correlation 

Distinct72
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.419093
Minimum2
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:20.392841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median9
Q313
95-th percentile26
Maximum150
Range148
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.3133826
Coefficient of variation (CV)0.8155974
Kurtosis32.335824
Mean11.419093
Median Absolute Deviation (MAD)3
Skewness4.2796572
Sum47846
Variance86.739096
MonotonicityNot monotonic
2025-05-19T12:09:20.915919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 417
 
10.0%
7 355
 
8.5%
8 341
 
8.1%
5 334
 
8.0%
9 333
 
7.9%
10 312
 
7.4%
11 274
 
6.5%
4 264
 
6.3%
12 224
 
5.3%
13 178
 
4.2%
Other values (62) 1158
27.6%
ValueCountFrequency (%)
2 15
 
0.4%
3 148
 
3.5%
4 264
6.3%
5 334
8.0%
6 417
10.0%
7 355
8.5%
8 341
8.1%
9 333
7.9%
10 312
7.4%
11 274
6.5%
ValueCountFrequency (%)
150 1
< 0.1%
102 2
< 0.1%
100 1
< 0.1%
99 2
< 0.1%
97 1
< 0.1%
88 1
< 0.1%
84 1
< 0.1%
83 1
< 0.1%
80 1
< 0.1%
78 1
< 0.1%

GOODS_DESCRIPTION_len_chars_mean
Real number (ℝ)

High correlation 

Distinct2436
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.040292
Minimum3
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:21.180667image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11
Q119.930159
median25.10156
Q330.746164
95-th percentile43.251026
Maximum150
Range147
Interquartile range (IQR)10.816006

Descriptive statistics

Standard deviation10.620201
Coefficient of variation (CV)0.40783726
Kurtosis10.939805
Mean26.040292
Median Absolute Deviation (MAD)5.3984396
Skewness1.9069107
Sum109108.82
Variance112.78868
MonotonicityNot monotonic
2025-05-19T12:09:21.469707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 47
 
1.1%
14 41
 
1.0%
15 41
 
1.0%
19 40
 
1.0%
24 38
 
0.9%
21 37
 
0.9%
11 37
 
0.9%
10 37
 
0.9%
25 36
 
0.9%
23 36
 
0.9%
Other values (2426) 3800
90.7%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 16
0.4%
4.5 4
 
0.1%
5 13
0.3%
5.666666667 1
 
< 0.1%
6 12
0.3%
6.5 2
 
< 0.1%
7 18
0.4%
7.333333333 2
 
< 0.1%
7.5 1
 
< 0.1%
ValueCountFrequency (%)
150 1
< 0.1%
104 1
< 0.1%
103.25 1
< 0.1%
102 1
< 0.1%
100 1
< 0.1%
99 2
< 0.1%
97 1
< 0.1%
88 1
< 0.1%
86.68913858 1
< 0.1%
86.66666667 1
< 0.1%

GOODS_DESCRIPTION_len_chars_median
Real number (ℝ)

High correlation 

Distinct149
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.718138
Minimum3
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:21.746640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11
Q118
median22.5
Q327.5
95-th percentile41
Maximum150
Range147
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation10.587122
Coefficient of variation (CV)0.4463724
Kurtosis14.599156
Mean23.718138
Median Absolute Deviation (MAD)4.5
Skewness2.569964
Sum99379
Variance112.08716
MonotonicityNot monotonic
2025-05-19T12:09:22.023332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 198
 
4.7%
24 196
 
4.7%
20 195
 
4.7%
21 191
 
4.6%
23 186
 
4.4%
25 170
 
4.1%
19 169
 
4.0%
26 158
 
3.8%
18 158
 
3.8%
27 152
 
3.6%
Other values (139) 2417
57.7%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 17
0.4%
4.5 4
 
0.1%
5 14
0.3%
5.5 1
 
< 0.1%
6 16
0.4%
6.5 2
 
< 0.1%
7 21
0.5%
7.5 1
 
< 0.1%
8 17
0.4%
ValueCountFrequency (%)
150 1
< 0.1%
104 1
< 0.1%
102 1
< 0.1%
100 1
< 0.1%
99 2
< 0.1%
97 2
< 0.1%
95.5 1
< 0.1%
93.5 1
< 0.1%
93 1
< 0.1%
90 1
< 0.1%

GOODS_DESCRIPTION_len_chars_max
Real number (ℝ)

High correlation 

Distinct148
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.268974
Minimum3
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:22.295117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile12
Q130
median53
Q384
95-th percentile143
Maximum150
Range147
Interquartile range (IQR)54

Descriptive statistics

Standard deviation37.391868
Coefficient of variation (CV)0.62041654
Kurtosis-0.23455498
Mean60.268974
Median Absolute Deviation (MAD)27
Skewness0.71280785
Sum252527
Variance1398.1518
MonotonicityNot monotonic
2025-05-19T12:09:22.752266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 134
 
3.2%
100 114
 
2.7%
80 83
 
2.0%
26 63
 
1.5%
32 63
 
1.5%
46 62
 
1.5%
30 60
 
1.4%
23 59
 
1.4%
31 55
 
1.3%
33 53
 
1.3%
Other values (138) 3444
82.2%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 16
 
0.4%
5 16
 
0.4%
6 12
 
0.3%
7 16
 
0.4%
8 16
 
0.4%
9 17
 
0.4%
10 38
0.9%
11 40
1.0%
12 46
1.1%
ValueCountFrequency (%)
150 134
3.2%
149 35
 
0.8%
148 9
 
0.2%
147 11
 
0.3%
146 1
 
< 0.1%
145 6
 
0.1%
144 7
 
0.2%
143 11
 
0.3%
142 6
 
0.1%
141 5
 
0.1%

GOODS_DESCRIPTION_len_chars_std
Real number (ℝ)

High correlation  Missing 

Distinct3254
Distinct (%)89.2%
Missing540
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean14.086485
Minimum0
Maximum70.741313
Zeros18
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:23.107944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2307911
Q18.8666728
median13.233888
Q318.211586
95-th percentile27.577164
Maximum70.741313
Range70.741313
Interquartile range (IQR)9.3449129

Descriptive statistics

Standard deviation7.7478912
Coefficient of variation (CV)0.55002304
Kurtosis3.3945739
Mean14.086485
Median Absolute Deviation (MAD)4.5996349
Skewness1.1688069
Sum51415.669
Variance60.029819
MonotonicityNot monotonic
2025-05-19T12:09:23.385964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7071067812 37
 
0.9%
1.414213562 22
 
0.5%
4.949747468 18
 
0.4%
3.535533906 18
 
0.4%
0 18
 
0.4%
4.242640687 18
 
0.4%
2.828427125 17
 
0.4%
2.121320344 17
 
0.4%
6.363961031 16
 
0.4%
9.192388155 13
 
0.3%
Other values (3244) 3456
82.5%
(Missing) 540
 
12.9%
ValueCountFrequency (%)
0 18
0.4%
0.5 1
 
< 0.1%
0.5773502692 1
 
< 0.1%
0.5773502692 1
 
< 0.1%
0.5773502692 1
 
< 0.1%
0.5773502692 3
 
0.1%
0.7071067812 37
0.9%
0.9831920803 1
 
< 0.1%
1 2
 
< 0.1%
1.10194633 1
 
< 0.1%
ValueCountFrequency (%)
70.74131278 1
< 0.1%
66.50563886 1
< 0.1%
58.39777393 1
< 0.1%
56.5714887 1
< 0.1%
53.913787 1
< 0.1%
53.03300859 1
< 0.1%
51.83338692 1
< 0.1%
50.52062285 1
< 0.1%
49.17387224 1
< 0.1%
48.49742261 1
< 0.1%

subtokenization_indicator_sum
Real number (ℝ)

High correlation 

Distinct3045
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.44661
Minimum1
Maximum9222.5029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:23.630561image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3333333
Q16
median22.655934
Q388.32619
95-th percentile522.78653
Maximum9222.5029
Range9221.5029
Interquartile range (IQR)82.32619

Descriptive statistics

Standard deviation399.72429
Coefficient of variation (CV)3.2120142
Kurtosis176.86215
Mean124.44661
Median Absolute Deviation (MAD)20.155934
Skewness10.723324
Sum521431.31
Variance159779.51
MonotonicityNot monotonic
2025-05-19T12:09:23.963139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 182
 
4.3%
2 124
 
3.0%
3 87
 
2.1%
1.5 51
 
1.2%
4 44
 
1.1%
2.5 41
 
1.0%
3.5 36
 
0.9%
5 23
 
0.5%
6 20
 
0.5%
1.333333333 20
 
0.5%
Other values (3035) 3562
85.0%
ValueCountFrequency (%)
1 182
4.3%
1.125 2
 
< 0.1%
1.142857143 2
 
< 0.1%
1.157894737 2
 
< 0.1%
1.166666667 3
 
0.1%
1.2 3
 
0.1%
1.25 8
 
0.2%
1.272727273 1
 
< 0.1%
1.285714286 1
 
< 0.1%
1.333333333 20
 
0.5%
ValueCountFrequency (%)
9222.502852 1
< 0.1%
9110.311291 1
< 0.1%
6992.023549 1
< 0.1%
5652.101169 1
< 0.1%
5143.737089 1
< 0.1%
3882.088258 1
< 0.1%
3719.079594 1
< 0.1%
3710.170501 1
< 0.1%
3643.383152 1
< 0.1%
3587.347869 1
< 0.1%

subtokenization_indicator_min
Real number (ℝ)

High correlation 

Distinct100
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2090898
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:24.240806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.1666667
95-th percentile2
Maximum10
Range9
Interquartile range (IQR)0.16666667

Descriptive statistics

Standard deviation0.53483173
Coefficient of variation (CV)0.44234245
Kurtosis49.469769
Mean1.2090898
Median Absolute Deviation (MAD)0
Skewness5.4195829
Sum5066.0861
Variance0.28604498
MonotonicityNot monotonic
2025-05-19T12:09:24.505275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3099
74.0%
1.5 176
 
4.2%
2 154
 
3.7%
1.333333333 128
 
3.1%
1.25 80
 
1.9%
1.666666667 56
 
1.3%
3 51
 
1.2%
1.75 38
 
0.9%
1.2 34
 
0.8%
2.5 28
 
0.7%
Other values (90) 346
 
8.3%
ValueCountFrequency (%)
1 3099
74.0%
1.058823529 1
 
< 0.1%
1.071428571 1
 
< 0.1%
1.076923077 1
 
< 0.1%
1.083333333 1
 
< 0.1%
1.090909091 2
 
< 0.1%
1.1 1
 
< 0.1%
1.111111111 2
 
< 0.1%
1.125 10
 
0.2%
1.142857143 13
 
0.3%
ValueCountFrequency (%)
10 1
 
< 0.1%
8.5 1
 
< 0.1%
7 3
0.1%
6.5 1
 
< 0.1%
6.307692308 1
 
< 0.1%
6 3
0.1%
5.4 1
 
< 0.1%
5 1
 
< 0.1%
4.666666667 1
 
< 0.1%
4.333333333 1
 
< 0.1%

subtokenization_indicator_mean
Real number (ℝ)

High correlation 

Distinct3058
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8574769
Minimum1
Maximum10.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:24.764735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median1.7524351
Q32.0586465
95-th percentile2.9238435
Maximum10.5
Range9.5
Interquartile range (IQR)0.55864652

Descriptive statistics

Standard deviation0.65080889
Coefficient of variation (CV)0.35037254
Kurtosis27.167124
Mean1.8574769
Median Absolute Deviation (MAD)0.26732972
Skewness3.5414724
Sum7782.8281
Variance0.42355222
MonotonicityNot monotonic
2025-05-19T12:09:25.018216image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 257
 
6.1%
1.5 104
 
2.5%
2 103
 
2.5%
3 46
 
1.1%
1.25 39
 
0.9%
1.75 38
 
0.9%
1.333333333 38
 
0.9%
2.5 32
 
0.8%
1.666666667 25
 
0.6%
2.25 15
 
0.4%
Other values (3048) 3493
83.4%
ValueCountFrequency (%)
1 257
6.1%
1.0125 1
 
< 0.1%
1.047619048 1
 
< 0.1%
1.055555556 1
 
< 0.1%
1.058080808 1
 
< 0.1%
1.060606061 1
 
< 0.1%
1.066666667 1
 
< 0.1%
1.071428571 1
 
< 0.1%
1.075 1
 
< 0.1%
1.083333333 2
 
< 0.1%
ValueCountFrequency (%)
10.5 1
 
< 0.1%
9.2 1
 
< 0.1%
8.5 1
 
< 0.1%
8.166666667 1
 
< 0.1%
8 1
 
< 0.1%
7.944444444 1
 
< 0.1%
7 3
0.1%
6.5 2
< 0.1%
6.307692308 1
 
< 0.1%
6 3
0.1%

subtokenization_indicator_median
Real number (ℝ)

High correlation 

Distinct408
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.706521
Minimum1
Maximum10.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:25.360707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.3333333
median1.5833333
Q32
95-th percentile2.7652778
Maximum10.5
Range9.5
Interquartile range (IQR)0.66666667

Descriptive statistics

Standard deviation0.63635088
Coefficient of variation (CV)0.37289367
Kurtosis29.009321
Mean1.706521
Median Absolute Deviation (MAD)0.25
Skewness3.7469941
Sum7150.3229
Variance0.40494244
MonotonicityNot monotonic
2025-05-19T12:09:25.618406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5 649
 
15.5%
1 455
 
10.9%
2 439
 
10.5%
1.666666667 253
 
6.0%
1.333333333 223
 
5.3%
1.75 177
 
4.2%
1.25 124
 
3.0%
2.5 83
 
2.0%
1.6 81
 
1.9%
3 79
 
1.9%
Other values (398) 1627
38.8%
ValueCountFrequency (%)
1 455
10.9%
1.038461538 1
 
< 0.1%
1.045454545 1
 
< 0.1%
1.05 1
 
< 0.1%
1.055555556 3
 
0.1%
1.0625 1
 
< 0.1%
1.071428571 3
 
0.1%
1.083333333 6
 
0.1%
1.090909091 1
 
< 0.1%
1.1 10
 
0.2%
ValueCountFrequency (%)
10.5 1
 
< 0.1%
8.5 2
 
< 0.1%
8.166666667 1
 
< 0.1%
8 1
 
< 0.1%
7 3
0.1%
6.5 2
 
< 0.1%
6.307692308 1
 
< 0.1%
6 5
0.1%
5.5 1
 
< 0.1%
5.4 1
 
< 0.1%

subtokenization_indicator_max
Real number (ℝ)

High correlation 

Distinct239
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2938163
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:25.866074image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.1428571
median3.25
Q35
95-th percentile11
Maximum59
Range58
Interquartile range (IQR)2.8571429

Descriptive statistics

Standard deviation3.711385
Coefficient of variation (CV)0.86435579
Kurtosis22.677383
Mean4.2938163
Median Absolute Deviation (MAD)1.25
Skewness3.5303829
Sum17991.09
Variance13.774379
MonotonicityNot monotonic
2025-05-19T12:09:26.130544image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 420
 
10.0%
2 337
 
8.0%
4 334
 
8.0%
1 257
 
6.1%
5 198
 
4.7%
2.5 193
 
4.6%
3.5 151
 
3.6%
6 147
 
3.5%
1.5 132
 
3.2%
7 102
 
2.4%
Other values (229) 1919
45.8%
ValueCountFrequency (%)
1 257
6.1%
1.1 1
 
< 0.1%
1.125 2
 
< 0.1%
1.142857143 3
 
0.1%
1.157894737 2
 
< 0.1%
1.166666667 4
 
0.1%
1.2 7
 
0.2%
1.25 16
 
0.4%
1.272727273 2
 
< 0.1%
1.285714286 2
 
< 0.1%
ValueCountFrequency (%)
59 1
 
< 0.1%
38 1
 
< 0.1%
36 1
 
< 0.1%
33 1
 
< 0.1%
32 1
 
< 0.1%
30 1
 
< 0.1%
27 3
0.1%
26 3
0.1%
25 4
0.1%
24 3
0.1%

subtokenization_indicator_std
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct3290
Distinct (%)90.1%
Missing540
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.80102323
Minimum0
Maximum9.8994949
Zeros106
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:26.395312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1767767
Q10.47434693
median0.70001689
Q30.95482551
95-th percentile1.714059
Maximum9.8994949
Range9.8994949
Interquartile range (IQR)0.48047858

Descriptive statistics

Standard deviation0.63966077
Coefficient of variation (CV)0.79855458
Kurtosis43.937135
Mean0.80102323
Median Absolute Deviation (MAD)0.23795869
Skewness4.8950393
Sum2923.7348
Variance0.40916591
MonotonicityNot monotonic
2025-05-19T12:09:26.670498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106
 
2.5%
0.3535533906 40
 
1.0%
0.7071067812 34
 
0.8%
0.1767766953 15
 
0.4%
1.060660172 10
 
0.2%
0.5773502692 10
 
0.2%
1.414213562 9
 
0.2%
0.2886751346 9
 
0.2%
0.5 9
 
0.2%
0.2886751346 7
 
0.2%
Other values (3280) 3401
81.2%
(Missing) 540
 
12.9%
ValueCountFrequency (%)
0 106
2.5%
0.03535533906 1
 
< 0.1%
0.03936479108 1
 
< 0.1%
0.04040610178 1
 
< 0.1%
0.04123930494 1
 
< 0.1%
0.04614625211 1
 
< 0.1%
0.04714045208 1
 
< 0.1%
0.04714045208 1
 
< 0.1%
0.05773502692 2
 
< 0.1%
0.0589255651 1
 
< 0.1%
ValueCountFrequency (%)
9.899494937 1
< 0.1%
8.718328926 1
< 0.1%
8.249579114 1
< 0.1%
8.030236228 1
< 0.1%
7.653430603 1
< 0.1%
7.334150943 1
< 0.1%
6.363961031 1
< 0.1%
6.128506881 1
< 0.1%
5.880944501 1
< 0.1%
5.876741066 1
< 0.1%

cosine_sim_gd_vs_hs_text_sum
Real number (ℝ)

High correlation  Zeros 

Distinct3961
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.302241
Minimum0
Maximum3292.9604
Zeros230
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:26.920759image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.2520665
median9.0587955
Q336.718788
95-th percentile220.3496
Maximum3292.9604
Range3292.9604
Interquartile range (IQR)34.466722

Descriptive statistics

Standard deviation150.5106
Coefficient of variation (CV)2.9921252
Kurtosis121.04629
Mean50.302241
Median Absolute Deviation (MAD)8.2062452
Skewness8.959491
Sum210766.39
Variance22653.441
MonotonicityNot monotonic
2025-05-19T12:09:27.558422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 230
 
5.5%
0.8601569533 1
 
< 0.1%
9.849659145 1
 
< 0.1%
1.614173234 1
 
< 0.1%
121.2259753 1
 
< 0.1%
62.14456546 1
 
< 0.1%
2.743227422 1
 
< 0.1%
21.21379292 1
 
< 0.1%
4.493902206 1
 
< 0.1%
0.8223311305 1
 
< 0.1%
Other values (3951) 3951
94.3%
ValueCountFrequency (%)
0 230
5.5%
0.6787118316 1
 
< 0.1%
0.6878749132 1
 
< 0.1%
0.6927850246 1
 
< 0.1%
0.7023397684 1
 
< 0.1%
0.7085582018 1
 
< 0.1%
0.7114555836 1
 
< 0.1%
0.7133231163 1
 
< 0.1%
0.7178073525 1
 
< 0.1%
0.7198221684 1
 
< 0.1%
ValueCountFrequency (%)
3292.960431 1
< 0.1%
2610.64089 1
< 0.1%
2369.143401 1
< 0.1%
2105.748377 1
< 0.1%
1905.001764 1
< 0.1%
1681.023988 1
< 0.1%
1564.106728 1
< 0.1%
1549.153605 1
< 0.1%
1504.432459 1
< 0.1%
1464.516026 1
< 0.1%

cosine_sim_gd_vs_hs_text_min
Real number (ℝ)

High correlation  Missing 

Distinct3957
Distinct (%)99.9%
Missing230
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.78660514
Minimum0.50259566
Maximum0.96980786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:27.809786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.50259566
5-th percentile0.69116185
Q10.74834664
median0.78297687
Q30.82530168
95-th percentile0.89048727
Maximum0.96980786
Range0.4672122
Interquartile range (IQR)0.076955035

Descriptive statistics

Standard deviation0.059727209
Coefficient of variation (CV)0.075930357
Kurtosis0.26811685
Mean0.78660514
Median Absolute Deviation (MAD)0.037771702
Skewness-0.0039663253
Sum3114.9563
Variance0.0035673395
MonotonicityNot monotonic
2025-05-19T12:09:28.150803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8899133205 2
 
< 0.1%
0.828234911 2
 
< 0.1%
0.836297214 2
 
< 0.1%
0.8760373592 1
 
< 0.1%
0.8885804415 1
 
< 0.1%
0.8473905921 1
 
< 0.1%
0.7047611475 1
 
< 0.1%
0.8611924648 1
 
< 0.1%
0.7250263691 1
 
< 0.1%
0.7615195513 1
 
< 0.1%
Other values (3947) 3947
94.2%
(Missing) 230
 
5.5%
ValueCountFrequency (%)
0.5025956631 1
< 0.1%
0.5658186674 1
< 0.1%
0.5669174194 1
< 0.1%
0.5686885715 1
< 0.1%
0.5748020411 1
< 0.1%
0.5852319002 1
< 0.1%
0.587050736 1
< 0.1%
0.5903577805 1
< 0.1%
0.5908305645 1
< 0.1%
0.5967436433 1
< 0.1%
ValueCountFrequency (%)
0.9698078632 1
< 0.1%
0.9648881555 1
< 0.1%
0.9586913586 1
< 0.1%
0.9571498632 1
< 0.1%
0.9557199478 1
< 0.1%
0.9547865391 1
< 0.1%
0.9529821277 1
< 0.1%
0.9505479336 1
< 0.1%
0.9503619671 1
< 0.1%
0.9477579594 1
< 0.1%

cosine_sim_gd_vs_hs_text_mean
Real number (ℝ)

High correlation  Missing 

Distinct3960
Distinct (%)100.0%
Missing230
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.83501187
Minimum0.60158304
Maximum0.96980786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:28.393999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.60158304
5-th percentile0.75920722
Q10.80768058
median0.83575511
Q30.86522526
95-th percentile0.9077215
Maximum0.96980786
Range0.36822482
Interquartile range (IQR)0.057544687

Descriptive statistics

Standard deviation0.045425905
Coefficient of variation (CV)0.054401508
Kurtosis0.57477478
Mean0.83501187
Median Absolute Deviation (MAD)0.028919566
Skewness-0.31314854
Sum3306.647
Variance0.0020635128
MonotonicityNot monotonic
2025-05-19T12:09:28.649532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8601569533 1
 
< 0.1%
0.7576660881 1
 
< 0.1%
0.8070866168 1
 
< 0.1%
0.8658998238 1
 
< 0.1%
0.7967251982 1
 
< 0.1%
0.9144091407 1
 
< 0.1%
0.8159151123 1
 
< 0.1%
0.8987804413 1
 
< 0.1%
0.8223311305 1
 
< 0.1%
0.9378454685 1
 
< 0.1%
Other values (3950) 3950
94.3%
(Missing) 230
 
5.5%
ValueCountFrequency (%)
0.6015830406 1
< 0.1%
0.6519760191 1
< 0.1%
0.659269015 1
< 0.1%
0.6608423758 1
< 0.1%
0.6636832133 1
< 0.1%
0.6676561182 1
< 0.1%
0.6722241243 1
< 0.1%
0.6769229695 1
< 0.1%
0.6779694803 1
< 0.1%
0.6787118316 1
< 0.1%
ValueCountFrequency (%)
0.9698078632 1
< 0.1%
0.9648881555 1
< 0.1%
0.9604424271 1
< 0.1%
0.9586913586 1
< 0.1%
0.9571498632 1
< 0.1%
0.9557199478 1
< 0.1%
0.9547865391 1
< 0.1%
0.9529821277 1
< 0.1%
0.9512586355 1
< 0.1%
0.9505479336 1
< 0.1%

cosine_sim_gd_vs_hs_text_median
Real number (ℝ)

High correlation  Missing 

Distinct3960
Distinct (%)100.0%
Missing230
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.83544312
Minimum0.59610879
Maximum0.96980786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:28.905232image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.59610879
5-th percentile0.75779429
Q10.80637823
median0.83579889
Q30.86729787
95-th percentile0.91101782
Maximum0.96980786
Range0.37369907
Interquartile range (IQR)0.060919642

Descriptive statistics

Standard deviation0.047106137
Coefficient of variation (CV)0.056384613
Kurtosis0.45439295
Mean0.83544312
Median Absolute Deviation (MAD)0.030300811
Skewness-0.28549003
Sum3308.3547
Variance0.0022189881
MonotonicityNot monotonic
2025-05-19T12:09:29.561908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8601569533 1
 
< 0.1%
0.7560578585 1
 
< 0.1%
0.8070866168 1
 
< 0.1%
0.8649627566 1
 
< 0.1%
0.7968799174 1
 
< 0.1%
0.9191901684 1
 
< 0.1%
0.8134569228 1
 
< 0.1%
0.8949782848 1
 
< 0.1%
0.8223311305 1
 
< 0.1%
0.9378454685 1
 
< 0.1%
Other values (3950) 3950
94.3%
(Missing) 230
 
5.5%
ValueCountFrequency (%)
0.5961087942 1
< 0.1%
0.6471940875 1
< 0.1%
0.6519760191 1
< 0.1%
0.6616500616 1
< 0.1%
0.6638229191 1
< 0.1%
0.664309144 1
< 0.1%
0.6664934754 1
< 0.1%
0.6709260941 1
< 0.1%
0.6767831147 1
< 0.1%
0.6787118316 1
< 0.1%
ValueCountFrequency (%)
0.9698078632 1
< 0.1%
0.9648881555 1
< 0.1%
0.9644202292 1
< 0.1%
0.9586913586 1
< 0.1%
0.9571498632 1
< 0.1%
0.9557199478 1
< 0.1%
0.9547865391 1
< 0.1%
0.9529821277 1
< 0.1%
0.9510700703 1
< 0.1%
0.9505479336 1
< 0.1%

cosine_sim_gd_vs_hs_text_max
Real number (ℝ)

High correlation  Missing 

Distinct3951
Distinct (%)99.8%
Missing230
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.88693692
Minimum0.66693276
Maximum0.98533964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:29.832712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.66693276
5-th percentile0.79721308
Q10.85838361
median0.89440507
Q30.92168801
95-th percentile0.95737314
Maximum0.98533964
Range0.31840688
Interquartile range (IQR)0.063304394

Descriptive statistics

Standard deviation0.048990507
Coefficient of variation (CV)0.055235616
Kurtosis0.57578118
Mean0.88693692
Median Absolute Deviation (MAD)0.031057239
Skewness-0.71148707
Sum3512.2702
Variance0.0024000698
MonotonicityNot monotonic
2025-05-19T12:09:30.100376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9547865391 2
 
< 0.1%
0.8526964188 2
 
< 0.1%
0.9135311842 2
 
< 0.1%
0.9143345356 2
 
< 0.1%
0.9568815827 2
 
< 0.1%
0.8908780217 2
 
< 0.1%
0.9003762007 2
 
< 0.1%
0.8929286003 2
 
< 0.1%
0.8993106484 2
 
< 0.1%
0.8837827444 1
 
< 0.1%
Other values (3941) 3941
94.1%
(Missing) 230
 
5.5%
ValueCountFrequency (%)
0.6669327617 1
< 0.1%
0.6787118316 1
< 0.1%
0.6878749132 1
< 0.1%
0.6927850246 1
< 0.1%
0.7023397684 1
< 0.1%
0.7065677047 1
< 0.1%
0.7085582018 1
< 0.1%
0.7088137865 1
< 0.1%
0.7114555836 1
< 0.1%
0.7133231163 1
< 0.1%
ValueCountFrequency (%)
0.9853396416 1
< 0.1%
0.9845205545 1
< 0.1%
0.9842960835 1
< 0.1%
0.9842685461 1
< 0.1%
0.9842452407 1
< 0.1%
0.9826465249 1
< 0.1%
0.9825786352 1
< 0.1%
0.982221365 1
< 0.1%
0.9819263816 1
< 0.1%
0.9818922281 1
< 0.1%

cosine_sim_gd_vs_hs_text_std
Real number (ℝ)

Missing 

Distinct3452
Distinct (%)100.0%
Missing738
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean0.030801574
Minimum0.00047849317
Maximum0.12595088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-19T12:09:30.367556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.00047849317
5-th percentile0.011317525
Q10.023276149
median0.029994322
Q30.036959365
95-th percentile0.051746202
Maximum0.12595088
Range0.12547239
Interquartile range (IQR)0.013683216

Descriptive statistics

Standard deviation0.01268185
Coefficient of variation (CV)0.41172732
Kurtosis3.2722628
Mean0.030801574
Median Absolute Deviation (MAD)0.0068340515
Skewness0.87867178
Sum106.32703
Variance0.00016082931
MonotonicityNot monotonic
2025-05-19T12:09:30.656209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02765643764 1
 
< 0.1%
0.04118186568 1
 
< 0.1%
0.04183608434 1
 
< 0.1%
0.00931358171 1
 
< 0.1%
0.02441861613 1
 
< 0.1%
0.02533055098 1
 
< 0.1%
0.005070434463 1
 
< 0.1%
0.01084980618 1
 
< 0.1%
0.02489916157 1
 
< 0.1%
0.04054674341 1
 
< 0.1%
Other values (3442) 3442
82.1%
(Missing) 738
 
17.6%
ValueCountFrequency (%)
0.0004784931711 1
< 0.1%
0.0006112978908 1
< 0.1%
0.0006257964067 1
< 0.1%
0.0006765412123 1
< 0.1%
0.000708067055 1
< 0.1%
0.0007940887728 1
< 0.1%
0.0008529679202 1
< 0.1%
0.001015949783 1
< 0.1%
0.001178576934 1
< 0.1%
0.001218296803 1
< 0.1%
ValueCountFrequency (%)
0.1259508834 1
< 0.1%
0.1160734264 1
< 0.1%
0.1007662694 1
< 0.1%
0.09964867902 1
< 0.1%
0.08998957681 1
< 0.1%
0.08872843057 1
< 0.1%
0.08651958941 1
< 0.1%
0.08572085898 1
< 0.1%
0.08256047565 1
< 0.1%
0.0806344574 1
< 0.1%

Interactions

2025-05-19T12:09:06.897781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:04:54.749074image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:12.475234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:45.738891image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:09.203086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:15.128331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:21.743996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:27.057402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:33.030576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:38.367247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:48.238090image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:08.248866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:27.217729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:49.320784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:55.442780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:07.879602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:13.759529image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:19.069671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:24.845251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:30.687237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:36.057249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:43.283298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:48.781980image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:54.472925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:01.270398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:07.170342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:04:55.176283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:13.082599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:46.083307image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:09.432322image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:15.340608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:21.953078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:27.252971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:33.238036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:38.581474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:48.630445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:08.636300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:27.694530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:49.915390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:55.644701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:08.078558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:13.947020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:19.263263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:25.324744image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:30.891239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:36.822088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:43.492881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:48.968454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:54.689645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:01.484421image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:07.364068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:04:55.636019image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:13.438272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:46.358758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:09.618191image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:15.526072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:22.141258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:27.807317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:33.439627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:38.990034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
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2025-05-19T12:07:24.253711image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:44.370736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:53.960449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:03.525287image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:11.864579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:17.569183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:23.112035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:29.232296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:34.254611image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:40.592061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:46.933046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:52.948063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:58.814078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:05.404125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:12.152282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:09.265665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:35.856849image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:07.228236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:13.126045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:20.568342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:25.737139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:31.893413image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:36.930922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:44.154995image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:05.909457image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:24.636901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:47.113357image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:54.138359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:04.439881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:12.118237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:17.755056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:23.288193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:29.413374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:34.436129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:41.154158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:47.112405image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:53.215121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:59.009467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:05.600506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:12.509626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:10.015261image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:40.073869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:07.812628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:13.470369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:20.757108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:25.928284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:32.090674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:37.135531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:45.729440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:06.322077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:25.053025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:47.453276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:54.323261image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:05.186603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:12.312067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:17.937165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:23.483789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:29.611308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:34.627020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:42.287297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:47.308353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:53.425249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:59.340654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:05.798209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:12.692198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:10.360435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:40.510767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:07.997521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:14.085412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:20.943051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:26.190713image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:32.267702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:37.325333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:46.312315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:06.797903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:25.460820image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:48.270879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:54.490770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:06.045044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:12.661264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:18.115170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:23.658065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:29.885122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:34.809854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:42.470649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:47.481860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:53.623241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:00.191329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:05.982520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:13.186268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:10.750280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:41.064911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:08.210353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:14.374211image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:21.148800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:26.379702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:32.468268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:37.620692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:46.709370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:07.181732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:25.889879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:48.621145image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:54.701844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:07.103152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:12.947226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:18.484775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:23.965269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:30.089625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:35.019870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:42.684062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:47.684309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:53.831467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:00.596814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:06.185110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:13.385273image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:11.375223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:45.000338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:08.425416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:14.738229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:21.353139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:26.568671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:32.659446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:37.997348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:47.177735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:07.558757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:26.310661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:48.842085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:54.964295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:07.496342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:13.127046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:18.683958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:24.214362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:30.295354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:35.227210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:42.887531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:48.417478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:54.046115image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:00.867565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:06.397034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:13.574641image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:11.824707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:05:45.374129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:08.620513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:14.922909image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:21.537971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:26.850512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:32.846256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:38.174458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:06:47.636390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:07.891985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:26.809739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:49.041915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:07:55.213367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:07.690773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:13.482291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:18.882401image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:24.379620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:30.490226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:35.425086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:43.086085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:48.608188image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:08:54.257098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:01.057994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-05-19T12:09:06.590733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Correlations

2025-05-19T12:09:30.897985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
GOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_words_sumHS06_countcosine_sim_gd_vs_hs_text_maxcosine_sim_gd_vs_hs_text_meancosine_sim_gd_vs_hs_text_mediancosine_sim_gd_vs_hs_text_mincosine_sim_gd_vs_hs_text_stdcosine_sim_gd_vs_hs_text_sumsubtokenization_indicator_maxsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_minsubtokenization_indicator_stdsubtokenization_indicator_sum
GOODS_DESCRIPTION_len_chars_max1.0000.7160.520-0.3610.8420.8620.9630.7060.504-0.3350.8040.8540.7890.510-0.019-0.020-0.3790.1340.7180.6300.2020.102-0.3570.3310.788
GOODS_DESCRIPTION_len_chars_mean0.7161.0000.9090.1650.7280.5010.6850.9290.8190.1470.7140.4860.3510.3720.2310.236-0.010-0.0040.3400.3230.2550.231-0.0250.1690.371
GOODS_DESCRIPTION_len_chars_median0.5200.9091.0000.2450.4620.3930.5030.8400.8750.2270.4730.3790.2490.2940.2620.2760.061-0.0660.2490.2430.2530.2570.0550.1150.274
GOODS_DESCRIPTION_len_chars_min-0.3610.1650.2451.000-0.182-0.552-0.3800.1010.1930.837-0.166-0.562-0.641-0.2010.3170.3080.551-0.237-0.552-0.481-0.0330.0680.461-0.278-0.623
GOODS_DESCRIPTION_len_chars_std0.8420.7280.462-0.1821.0000.5060.7870.6840.414-0.1690.9130.4950.4020.3420.0580.053-0.1570.1980.3680.3390.1580.106-0.1560.2440.407
GOODS_DESCRIPTION_len_chars_sum0.8620.5010.393-0.5520.5061.0000.8640.5260.402-0.5180.5160.9980.9840.501-0.118-0.109-0.5210.1060.8870.7530.1950.074-0.4900.3940.977
GOODS_DESCRIPTION_len_words_max0.9630.6850.503-0.3800.7870.8641.0000.7310.521-0.3420.8450.8670.7980.479-0.040-0.038-0.3930.1100.7220.6030.1550.061-0.3810.2980.788
GOODS_DESCRIPTION_len_words_mean0.7060.9290.8400.1010.6840.5260.7311.0000.8860.1470.7500.5330.3900.3260.1600.163-0.064-0.0320.3670.2610.1210.114-0.1000.0670.386
GOODS_DESCRIPTION_len_words_median0.5040.8190.8750.1930.4140.4020.5210.8861.0000.2360.4580.4090.2730.2400.1790.1870.009-0.0910.2630.1610.1010.121-0.021-0.0020.271
GOODS_DESCRIPTION_len_words_min-0.3350.1470.2270.837-0.169-0.518-0.3420.1470.2361.000-0.180-0.514-0.601-0.2130.2640.2540.494-0.222-0.522-0.568-0.187-0.0580.368-0.402-0.612
GOODS_DESCRIPTION_len_words_std0.8040.7140.473-0.1660.9130.5160.8450.7500.458-0.1801.0000.5190.4140.3050.0480.045-0.1530.1400.3770.3240.1340.087-0.1490.2160.413
GOODS_DESCRIPTION_len_words_sum0.8540.4860.379-0.5620.4950.9980.8670.5330.409-0.5140.5191.0000.9850.489-0.129-0.122-0.5270.1000.8860.7340.1670.050-0.5040.3720.972
HS06_count0.7890.3510.249-0.6410.4020.9840.7980.3900.273-0.6010.4140.9851.0000.467-0.175-0.167-0.5680.1200.8970.7550.1670.038-0.5360.3980.988
cosine_sim_gd_vs_hs_text_max0.5100.3720.294-0.2010.3420.5010.4790.3260.240-0.2130.3050.4890.4671.0000.5780.5540.1710.1900.5020.4160.2270.185-0.1150.2000.484
cosine_sim_gd_vs_hs_text_mean-0.0190.2310.2620.3170.058-0.118-0.0400.1600.1790.2640.048-0.129-0.1750.5781.0000.9890.824-0.263-0.127-0.0690.1550.1990.258-0.036-0.147
cosine_sim_gd_vs_hs_text_median-0.0200.2360.2760.3080.053-0.109-0.0380.1630.1870.2540.045-0.122-0.1670.5540.9891.0000.797-0.256-0.119-0.0610.1640.2060.254-0.028-0.138
cosine_sim_gd_vs_hs_text_min-0.379-0.0100.0610.551-0.157-0.521-0.393-0.0640.0090.494-0.153-0.527-0.5680.1710.8240.7971.000-0.494-0.532-0.3950.0040.0930.426-0.192-0.545
cosine_sim_gd_vs_hs_text_std0.134-0.004-0.066-0.2370.1980.1060.110-0.032-0.091-0.2220.1400.1000.1200.190-0.263-0.256-0.4941.0000.1110.1030.0440.028-0.1090.0980.122
cosine_sim_gd_vs_hs_text_sum0.7180.3400.249-0.5520.3680.8870.7220.3670.263-0.5220.3770.8860.8970.502-0.127-0.119-0.5320.1111.0000.6850.1710.057-0.4710.3660.889
subtokenization_indicator_max0.6300.3230.243-0.4810.3390.7530.6030.2610.161-0.5680.3240.7340.7550.416-0.069-0.061-0.3950.1030.6851.0000.6200.390-0.2120.8630.827
subtokenization_indicator_mean0.2020.2550.253-0.0330.1580.1950.1550.1210.101-0.1870.1340.1670.1670.2270.1550.1640.0040.0440.1710.6201.0000.9060.4000.6520.303
subtokenization_indicator_median0.1020.2310.2570.0680.1060.0740.0610.1140.121-0.0580.0870.0500.0380.1850.1990.2060.0930.0280.0570.3900.9061.0000.4950.3660.166
subtokenization_indicator_min-0.357-0.0250.0550.461-0.156-0.490-0.381-0.100-0.0210.368-0.149-0.504-0.536-0.1150.2580.2540.426-0.109-0.471-0.2120.4000.4951.000-0.150-0.453
subtokenization_indicator_std0.3310.1690.115-0.2780.2440.3940.2980.067-0.002-0.4020.2160.3720.3980.200-0.036-0.028-0.1920.0980.3660.8630.6520.366-0.1501.0000.487
subtokenization_indicator_sum0.7880.3710.274-0.6230.4070.9770.7880.3860.271-0.6120.4130.9720.9880.484-0.147-0.138-0.5450.1220.8890.8270.3030.166-0.4530.4871.000

Missing values

2025-05-19T12:09:13.988509image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-19T12:09:14.695625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-19T12:09:15.280059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

HS06_countGOODS_DESCRIPTION_len_words_sumGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_stdsubtokenization_indicator_sumsubtokenization_indicator_minsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_maxsubtokenization_indicator_stdcosine_sim_gd_vs_hs_text_sumcosine_sim_gd_vs_hs_text_mincosine_sim_gd_vs_hs_text_meancosine_sim_gd_vs_hs_text_mediancosine_sim_gd_vs_hs_text_maxcosine_sim_gd_vs_hs_text_std
HS06
1012153046.06.071.2247451722434.433.0468.2036586.7380951.01.3476191.2857141.6666670.2517514.4939020.8899130.8987800.8949780.9127860.009314
101301222.02.02NaN161616.016.016NaN1.5000001.51.5000001.5000001.500000NaN0.8223310.8223310.8223310.8223310.822331NaN
101901333.03.03NaN151515.015.015NaN1.0000001.01.0000001.0000001.000000NaN0.8667460.8667460.8667460.8667460.866746NaN
1022152024.03.072.345208103820.619.03411.6318537.0000001.01.4000001.3333332.0000000.4346134.5749990.8760370.9150000.9157770.9376440.024419
102292834.04.051.414214472223.523.5252.1213203.3333331.01.6666671.6666672.3333330.9428091.8129840.8885800.9064920.9064920.9244030.025331
102311222.02.02NaN999.09.09NaN1.0000001.01.0000001.0000001.000000NaN0.8473910.8473910.8473910.8473910.847391NaN
102902522.52.530.70710720810.010.0122.8284272.0000001.01.0000001.0000001.0000000.0000001.8756910.9342600.9378450.9378450.9414310.005070
103101222.02.02NaN161616.016.016NaN2.0000002.02.0000002.0000002.000000NaN0.8970620.8970620.8970620.8970620.897062NaN
103921111.01.01NaN444.04.04NaN1.0000001.01.0000001.0000001.000000NaN0.8601570.8601570.8601570.8601570.860157NaN
104203612.01.041.73205133411.09.0208.1853533.5000001.01.1666671.0000001.5000000.2886752.7432270.9019900.9144090.9191900.9220470.010850
HS06_countGOODS_DESCRIPTION_len_words_sumGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_stdsubtokenization_indicator_sumsubtokenization_indicator_minsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_maxsubtokenization_indicator_stdcosine_sim_gd_vs_hs_text_sumcosine_sim_gd_vs_hs_text_mincosine_sim_gd_vs_hs_text_meancosine_sim_gd_vs_hs_text_mediancosine_sim_gd_vs_hs_text_maxcosine_sim_gd_vs_hs_text_std
HS06
96170014053213.8000003.0141.8859573367324.05000021.08812.518375271.6833331.01.9405951.7321436.3333330.8058090.000000NaNNaNNaNNaNNaN
9618005514912.7090912.061.242350993518.05454515.0468.75472099.1333331.01.8024241.6666675.0000000.7838280.000000NaNNaNNaNNaNNaN
961900270131214.8592595.0172.7148587045426.09259327.57312.376180485.3174821.01.7974721.5714295.0000000.6875150.000000NaNNaNNaNNaNNaN
9620004416613.7727273.091.9513101010622.95454521.05711.30950377.4079371.01.7592711.5500006.5000000.8671860.000000NaNNaNNaNNaNNaN
970110266812.6153853.051.267341490618.84615416.54710.41419233.8333331.01.3012821.0000002.8000000.57540221.3353090.7333270.8205890.8204770.8835990.030272
970190269813.7692312.5133.037205621623.88461518.07117.67331837.5264961.01.4433271.1388894.0000000.70895721.2137930.7423870.8159150.8134570.9026610.041836
9702001333.0000003.03NaN141414.00000014.014NaN1.0000001.01.0000001.0000001.000000NaN0.000000NaNNaNNaNNaNNaN
9703003110013.2258062.0122.261411672921.67741917.07414.24637353.6333331.01.7301081.5000004.0000000.8443760.000000NaNNaNNaNNaNNaN
97040061612.6666672.541.211060100716.66666714.0309.0258897.0000001.01.1666671.0000001.7500000.3027650.000000NaNNaNNaNNaNNaN
97050041112.7500002.062.21735675818.75000015.03712.6326306.6666671.01.6666671.5000002.6666670.8164970.000000NaNNaNNaNNaNNaN

Duplicate rows

Most frequently occurring

HS06_countGOODS_DESCRIPTION_len_words_sumGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_stdsubtokenization_indicator_sumsubtokenization_indicator_minsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_maxsubtokenization_indicator_stdcosine_sim_gd_vs_hs_text_sumcosine_sim_gd_vs_hs_text_mincosine_sim_gd_vs_hs_text_meancosine_sim_gd_vs_hs_text_mediancosine_sim_gd_vs_hs_text_maxcosine_sim_gd_vs_hs_text_std# duplicates
01111.01.01NaN444.04.04NaN1.01.01.01.01.0NaN0.0NaNNaNNaNNaNNaN2
11111.01.01NaN999.09.09NaN1.01.01.01.01.0NaN0.0NaNNaNNaNNaNNaN2
21222.02.02NaN101010.010.010NaN1.01.01.01.01.0NaN0.0NaNNaNNaNNaNNaN2
32522.52.530.707107271113.513.5163.5355342.01.01.01.01.00.00.0NaNNaNNaNNaNNaN2